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Mistral Small 3.1 logoMistral Small 3.1
vs
Supavec logoSupavec

Mistral Small 3.1 vs Supavec: Which is Better in 2026?

A comprehensive comparison of Mistral Small 3.1 and Supavec covering features, pricing, use cases, and which tool is the right choice for your needs.

⚡ Quick Verdict

Choose Mistral Small 3.1 if:

  • You want more affordable paid plans (from $2/mo)
  • You need a broader feature set (10 features vs 5)
  • You need 24b parameter model (mistral-small-3.1-24b) or 128k token context window

Choose Supavec if:

  • You need upload and query endpoints — rag without running a vector database or tenant isolation enforced by supabase row-level security

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Mistral Small 3.1 vs Supavec: At a Glance

Attribute
Mistral Small 3.1
Supavec
Pricing Model
Freemium
Freemium
Starting Price
Starting at Open weights under Apache 2.0 license — free to download, self-host, and use commercially. Available via Mistral API (La Plateforme) and Le Chat.
Free plan + paid from $190/year
Free Tier
✓ Yes
✓ Yes
Category
LLM APIs & Models
LLM APIs & Models
Features Count
10 features
5 features
Shared Features
0 features in common

Pricing Comparison: Mistral Small 3.1 vs Supavec

Understanding the pricing differences between Mistral Small 3.1 and Supavec is crucial for making the right choice. Here's how their plans compare side by side.

Mistral Small 3.1 Pricing

PlanOpen weights under Apache 2.0 license — free to download, self-host, and use commercially. Available via Mistral API (La Plateforme) and Le Chat.
View full Mistral Small 3.1 pricing →

Supavec Pricing

Free$0forever
Basic is$190/year
Enterprise is$1,490/year
View full Supavec pricing →

💡 Pricing takeaway: Both Mistral Small 3.1 and Supavec offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.

Feature-by-Feature Comparison

Here's how every feature from Mistral Small 3.1 and Supavec stacks up.

Feature
Mistral Small 3.1
Supavec
24B parameter model (Mistral-Small-3.1-24B)
128k token context window
Native multimodal vision — text and image inputs in one model
150 tokens/second inference speed
Outperforms Gemma 3 and GPT-4o Mini on GPQA Diamond and text benchmarks
Apache 2.0 license — permissive commercial and self-hosted use
Multilingual support across 40+ languages
Runs on a single RTX 4090 or Mac with 32GB RAM
Available as base and instruct checkpoints for fine-tuning
Function calling and agentic workflow support
Upload and query endpoints — RAG without running a vector database
Tenant isolation enforced by Supabase row-level security
Open source, with a genuine self-host path
Sub-300ms retrieval with citations back to the source document
React, Python and Node SDKs plus plain REST

What Makes Each Tool Unique

🔵 Unique to Mistral Small 3.1

Features available in Mistral Small 3.1 but not in Supavec:

  • 24B parameter model (Mistral-Small-3.1-24B)
  • 128k token context window
  • Native multimodal vision — text and image inputs in one model
  • 150 tokens/second inference speed
  • Outperforms Gemma 3 and GPT-4o Mini on GPQA Diamond and text benchmarks
  • Apache 2.0 license — permissive commercial and self-hosted use
  • Multilingual support across 40+ languages
  • Runs on a single RTX 4090 or Mac with 32GB RAM
  • Available as base and instruct checkpoints for fine-tuning
  • Function calling and agentic workflow support

🟣 Unique to Supavec

Features available in Supavec but not in Mistral Small 3.1:

  • Upload and query endpoints — RAG without running a vector database
  • Tenant isolation enforced by Supabase row-level security
  • Open source, with a genuine self-host path
  • Sub-300ms retrieval with citations back to the source document
  • React, Python and Node SDKs plus plain REST

Use Case Recommendations

Best for: Mistral Small 3.1

Mistral Small 3.1, released March 17, 2025, is a 24B open-source model that adds multimodal vision and a 128k context window to Mistral Small 3. Apache 2.0 license. Outperforms Gemma 3 and GPT-4o Mini on text and multimodal benchmarks at 150 tokens/second. Runs on a single RTX 4090 or Mac with 32GB RAM — making it the first open-source small model to surpass leading proprietary competitors across text, vision, multilingual, and long-context tasks.

Ideal use cases:

  • Teams or individuals who need 24b parameter model (mistral-small-3.1-24b)
  • Teams or individuals who need 128k token context window
  • Teams or individuals who need native multimodal vision — text and image inputs in one model
  • Teams or individuals who need 150 tokens/second inference speed
  • Anyone focused on mistral workflows
  • Anyone focused on llm workflows
Try Mistral Small 3.1

Best for: Supavec

Supavec is an open-source RAG-as-a-service API: you upload text or documents, it embeds and stores them, and you query for the passages that answer a question, with the whole thing reachable over a REST call rather than a vector-database deployment of your own. It is built on Supabase row-level security, which is the design decision that carries most of the weight — tenant isolation is enforced by the database rather than by application code you have to get right, so a multi-tenant product does not leak one customer's documents into another customer's answers. The positioning is explicitly as the open-source alternative to Carbon.ai, and the self-host path is real rather than decorative. The use cases the team leads with are the ones where retrieval quality matters more than model choice: sales-call transcripts you can ask about pricing objections and get timestamped clips back, a support knowledge copilot fed from Zendesk, Notion or Confluence that answers with citations to the current doc, on-premise legal and HR policy Q&A queried through Slack with exact clause references, and hourly-synced documentation search that returns code snippets in under 300 ms. Getting started is a POST to an upload endpoint with a bearer token; SDKs exist for React, Python and Node. There is a free forever tier and a 14-day no-questions refund on paid plans.

Ideal use cases:

  • Teams or individuals who need upload and query endpoints — rag without running a vector database
  • Teams or individuals who need tenant isolation enforced by supabase row-level security
  • Teams or individuals who need open source, with a genuine self-host path
  • Teams or individuals who need sub-300ms retrieval with citations back to the source document
  • Anyone focused on open-source workflows
  • Anyone focused on rag workflows
Try Supavec

🧩 Other LLM APIs & Models Tools to Consider

Mistral Small 3.1 and Supavec aren't the only options. Here are other popular tools in the same space:

🏷️

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Frequently Asked Questions

Is Mistral Small 3.1 better than Supavec?

It depends on your needs. Mistral Small 3.1 offers 10 key features including 24B parameter model (Mistral-Small-3.1-24B) and 128k token context window, while Supavec provides 5 features including Upload and query endpoints — RAG without running a vector database and Tenant isolation enforced by Supabase row-level security. Mistral Small 3.1 uses a freemium model with a free tier, while Supavec is freemium with free access available. Choose based on which features and pricing model align with your requirements.

Is Mistral Small 3.1 cheaper than Supavec?

Mistral Small 3.1 is cheaper, starting at Open weights under Apache 2.0 license — free to download, self-host, and use commercially. Available via Mistral API (La Plateforme) and Le Chat. compared to Supavec's $190/year. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.

Can I use Mistral Small 3.1 and Supavec together?

Yes, many users combine Mistral Small 3.1 and Supavec in their workflow. Mistral Small 3.1 excels at 24b parameter model (mistral-small-3.1-24b), while Supavec shines with upload and query endpoints — rag without running a vector database. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.

What's the main difference between Mistral Small 3.1 and Supavec?

While both are llm apis & models tools, Mistral Small 3.1 emphasizes 24b parameter model (mistral-small-3.1-24b), whereas Supavec is known for upload and query endpoints — rag without running a vector database. The best choice depends on your specific workflow and feature priorities.

Learn More

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